uniform distribution

Terms from Statistics for HCI: Making Sense of Quantitative Data

A uniform distribution is where the probability of every outcome is the same. For discrete data, this is a probability of 1/N for each value, where N is the number of values. In the case of data 1...N the mean (μ) is (N+1)/2 and the variance is (N+1)(N-1)/12 For bounded continuous data the probability is 1/W where W is the width of the data.. In the case of continuous data over [0,W] the mean (μ) is W/2 and the variance is W2/12